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Found 2 papers, 1 papers with code
Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
In this paper, we propose a cross-architecture knowledge distillation method for MDE, dubbed DisDepth, to enhance efficient CNN models with the supervision of state-of-the-art transformer models.
SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
This paper aims at achieving fine-grained building attribute segmentation in a cross-view scenario, i. e., using satellite and street-view image pairs.
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